At a Glance
- Tasks: Ensure top-notch quality of AI-generated job architecture outputs and collaborate with Data Science.
- Company: Join Beamery, a forward-thinking company in the heart of London.
- Benefits: Competitive salary, flexible working hours, and opportunities for professional growth.
- Other info: Dynamic startup environment with potential for rapid career advancement.
- Why this job: Be at the forefront of AI technology and make a real difference in quality assurance.
- Qualifications: Strong attention to detail and excellent communication skills required.
The predicted salary is between 60000 - 80000 £ per year.
Beamery is seeking a Senior QA Engineer in London to join the team responsible for QA of AI-generated job architecture outputs.
You will work with Data Science and Professional Services to review data, identify issues, and ensure accuracy and timely delivery.
You’ll help document QA processes, shape quality standards, and employ agentic tools (e. g., Claude) to scale QA activities.
Excellent attention to detail and communication are essential in this early-stage role.
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Senior QA Engineer: AI Data Quality & Automation in London employer: Beamery
Beamery is an exceptional employer that fosters a collaborative and innovative work culture, particularly for those in the tech and data sectors. With a strong focus on employee growth, you will have access to continuous learning opportunities and the chance to work with cutting-edge technologies in a vibrant location. Join us to make a meaningful impact in the world of data and AI while enjoying a supportive environment that values your contributions.
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We think this is how you could land Senior QA Engineer: AI Data Quality & Automation in London
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We think you need these skills to ace Senior QA Engineer: AI Data Quality & Automation in London
Some tips for your application 🫡
Show Off Your Projects:In the world of data science, your projects can speak volumes about your skills. Make sure to showcase a few key projects in your CV or portfolio, especially those that highlight your ability to work with data sets, build models, or use relevant tools like Python, R, or SQL. Don’t forget to include links to any GitHub repositories if applicable!
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